langchain-skills-adapters 0.1.2

Langchain adapters to support skills in your agent

Langchain Skills Adapters

Langchain adapters to support skills in your agent.

Features

• Supports the Anthropic Open Standard for Skills
• Follows the principle of progressive disclosure - Only loads skills if they are needed
• Loads skills from anywhere on your system
• Use as a tool or add as middleware to your agents

Installation

uv:

uv add langchain-skills-adapters

pip:

pip install langchain-skills-adapters

Skills Format

Skills must follow the Anthropic Open Standard for Skills. This includes having frontmatter with at minimum the name and skill description.

---
name: My Skill
description: This is my skill
---

# My Skill

Skill content

The skill directory must be in the following format to be loaded correctly:

skills
├── my-skill
│   ├── assets          # Required: instructions + metadata
│   ├── references      # Optional: executable code
│   ├── scripts         # Optional: documentation
│   └── SKILL.md        # Optional: templates, resources
└── other skills...

Usage

As a Tool

from langchain.agents import create_agent
from langchain_community.tools.file_management.read import ReadFileTool

from langchain_skills_adapters import SkillsTool

# Create the SkillsTool pointed to your skills directory
skills_dir = "/path/to/skills/"
skills_tool = SkillsTool(skills_dir)
print(skills_tool.description)

# Optional: Add a file reading tool. Recommended if your agent needs to read resources from your skill directory (scripts, assets, etc.)
read_file_tool = ReadFileTool(root_dir=skills_dir)

# Create the agent
tools = [skills_tool, read_file_tool]
agent = create_agent("openai:gpt-5", tools=tools)
response = agent.invoke(input={"messages": {"role": "user", "content": "What skills do you have?"}})
print(response)

As Middleware

COMING SOON